Table 2 Description of the collected data that is used to predict the academic achievement
From: Predicting Master’s students’ academic performance: an empirical study in Germany
Feature | Description | Type | Value |
|---|---|---|---|
Academic_status | Whether the student completed the master’s degree or not | Nominal | Completed, and Not_completed |
Academic_grade | Student's final achieved grade | Nominal | Above average, Average, and Below average |
Gender | Student's gender | Nominal | Male, Female |
Enrollment_age | Student's age at the time of enrollment | Numeric | 21–38 |
Culture | Student's culture | Nominal | Collectivistic, and Individualistic |
Distance | Distance from accommodation to the university campus | Numeric | ≥ 1 km |
Grade_sem1 | Student’s average grade in the 1st academic semester | Numeric | 1 – 5 |
Grade_sem2 | Student's average grade in the 2nd academic semester | Numeric | 1 – 5 |
F_sem1 | Number of failed courses in the 1st semester | Numeric | ≥ 0 |
F_sem2 | The Number of failed courses in the 2nd academic year | Numeric | ≥ 0 |
Unregistered_exams1 | The number of courses that have been taken in the 1st semester, however, have not taken the exam | Numeric | ≥ 0 |
Unregistered_exams2 | The number of courses that have been studied in the 2nd semester, however, did not take the exam | Numeric | ≥ 0 |
Registered_exams1 | The number of courses that have been examined in the 1st semester | Numeric | ≥ 0 |
Registered_exams2 | The number of courses that have been examined in the 2nd semester | Numeric | ≥ 0 |